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Daniel Dulaney
Data enthusiast with ~3 years of analyst experience in an MLB front-office (Pittsburgh). Strong stats/programming background – I especially enjoy data visualization, building R Shiny apps, and automating a nice report. I thrive in team environments and love finding curious, collaborative, thoughtful people to do cool stuff with.
Education
M.S., Statistics
NC State
Online
May 2022 - Aug 2020
- Coursework includes: Bayesian models, machine learning, technical communication / consulting
B.S., Statistics (minor Philosophy, Economics)
NC State
Raleigh, NC
May 2019 - Aug 2016
- Coursework includes: Statistical theory, R/Python/SAS, regression/linear models, experimental design
- Involved with Sports Analytics Club, Doran’s Lab (data science), did independent stats/data projects with profesors, PhD students, and peers
Statistics
UNC-Greensboro
Greensboro, NC
May 2016 - Aug 2014
- Member of baseball team, Honors College
Industry Experience
Intern/Fellow, Baseball Informatics
Pittsburgh Pirates
Pittsburgh, PA
Dec 2021 - Feb 2019
- ’20-’21: Draft-focused – data processes with R/SQL, modelling, visualizations, reports, player discovery/evaluation/write-ups
- ’19: Data/research support for various groups within analytics (draft, advance/major league, international, athlete)
- Sat in on ’19 scouting leadership, ’20/’21 draft room, ’21 trade deadline meetings
Projects/Research
Undergraduate Research
Stats Department, Doran’s Lab
NC State
May 2019 - July 2017
- Data projects for NC State baseball team – web scraped box scores, classified pitches with clustering algorithms, automated player/team reports, made various data visualizations
- Projects with Doran’s Lab (a data science group) – included deep / reinforcement learning reading groups & implementations, data wrangling, visualizations. Good programming practices with Python were emphasized.